Learn image processing and GUIs while having fun in MATLAB
What you'll learn
- How to think about and work with digital images!
- Your MATLAB programming skills will be much better at the end of this course.
- You'll learn from one of Udemy's top MATLAB instructors with nearly two decades of teaching experience.
- You will understand image processing functions including smoothing, filtering, blending, and embossing.
- Make movies and animations!
- Create graphical user interfaces (GUI) from scratch, with and without the MATLAB GUIDE tool.
- Advanced programming techniques including handles and vectorization.
Requirements
- A computer (duh!)
- Basic MATLAB programming skills
- Access to MATLAB software
- MATLAB image processing toolbox is useful but not required
Description
Images are the most important ways of getting information across, ranging from art to marketing to politics. And nowadays, nearly all images are digital. Therefore, it's important to know about image processing and digital image processing.
What will you get from this course?
You will learn fundamental skills in image processing and graphical user interfaces (GUIs) in a way that is fun and engaging. Being bored while learning is a waste of everyone's time and energy, plus you really only learn when you are enjoying the learning experience. You don't need any background in image processing before taking this course.
Improving your MATLAB programming skills. This is not only about image processing related code; you'll also increase your MATLAB coding and programming skills concerning numerical processing, control statements, working with data, and more.
What are the prerequisites?
You need some basic MATLAB programming experience. If you are totally new to MATLAB, then please take an intro-MATLAB programming course first.
If you are familiar with variables, if-then statements, for-loops, and creating functions, then you have the necessary knowledge for this course.
What should you do now?
Check out the list of topics and watch the preview videos to find out if this course is right for you. If you have any questions, send me a message. You should also check out the student reviews of my other courses to see what people think about my teaching style in general.
See you in class!
Mike
Who this course is for:
- programmers
- scientists
- engineers
- data scientists
- students
Instructor
![Mike X Cohen](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.6 Instructor Rating
- 34,975 Reviews
- 179,082 Students
- 22 Courses
I am a neuroscientist (brain scientist) and associate professor at the Radboud University in the Netherlands. I have an active research lab that has been funded by the US, German, and Dutch governments, European Union, hospitals, and private organizations.
But you're here because of my teaching, so let me tell you about that:
I have 20 years of experience teaching programming, data analysis, signal processing, statistics, linear algebra, and experiment design. I've taught undergraduate students, PhD candidates, postdoctoral researchers, and full professors. I teach in "traditional" university courses, special week-long intensive courses, and Nobel prize-winning research labs. I have >80 hours of online lectures on neuroscience data analysis that you can find on my website and youtube channel. And I've written several technical books about these topics with a few more on the way.
I'm not trying to show off -- I'm trying to convince you that you've come to the right place to maximize your learning from an instructor who has spent two decades refining and perfecting his teaching style.
Over 120,000 students have watched over 7,500,000 minutes of my courses. Come find out why!
I have several free courses that you can enroll in. Try them out! You got nothing to lose ;)
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By popular request, here are suggested course progressions for various educational goals:
MATLAB programming: MATLAB onramp; Master MATLAB; Image Processing
Python programming: Master Python programming by solving scientific projects; Master Math by Coding in Python
Applied linear algebra: Complete Linear Algebra; Dimension Reduction
Signal processing: Understand the Fourier Transform; Generate and visualize data; Signal Processing; Neural signal processing